A method recognizes objects in an environment of a vehicle including a sensor system having at least one sensor unit for registering the environment and an evaluation unit for evaluating sensor data provided by the at least one sensor unit. The method includes receiving the sensor data in the evaluation unit, the sensor data including a plurality of chronologically successive measurements; inputting the sensor data into a machine learning module; and outputting an object state of at least one object estimated based on the sensor data by way of the machine learning module. The method further includes determining a plurality of chronologically successive future object states based on the estimated object state; ascertaining deviations between the future object states and measurements chronologically corresponding to the future object states based on the sensor data; and correcting a machine learning algorithm of the module based on the deviations.
Legal claims defining the scope of protection, as filed with the USPTO.
3. The method according to claim 2, wherein each of the future object states is transformed into a different coordinate system.
5. The method according to claim 4, wherein the estimation point in time is before a point in time of a first measurement of the second series.
6. The method according to claim 4, wherein the estimation point in time corresponds to a point in time of a last measurement of the first series.
9. The method according to claim 1, wherein the evaluation unit is configured to execute the method.
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January 26, 2021
February 6, 2024
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